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政大典藏 > College of Informatics > Department of Computer Science > Periodical Articles > Item 140.119/143297

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/143297

Title:	A Fast Two-Stage Bilateral Filter Using Constant Time O(1) Histogram Generation
Authors:	彭彥璁 Peng, Yan-Tsung Cheng, Sheng-Wei;Lin, Yi-Ting
Contributors:	資科系
Keywords:	O(1) complexity;bilateral filtering;gaussian filtering;image smoothing
Date:	2022-01
Issue Date:	2023-02-06 14:30:12 (UTC+8)
Abstract:	Bilateral Filtering (BF) is an effective edge-preserving smoothing technique in image processing. However, an inherent problem of BF for image denoising is that it is challenging to differentiate image noise and details with the range kernel, thus often preserving both noise and edges in denoising. This letter proposes a novel Dual-Histogram BF (DHBF) method that exploits an edge-preserving noise-reduced guidance image to compute the range kernel, removing isolated noisy pixels for better denoising results. Furthermore, we approximate the spatial kernel using mean filtering based on column histogram construction to achieve constant-time filtering regardless of the kernel radius` size and achieve better smoothing. Experimental results on multiple benchmark datasets for denoising show that the proposed DHBF outperforms other state-of-the-art BF methods.
Relation:	Sensors, Vol.22, No.3, 926
Data Type:	article
DOI link:	https://doi.org/10.3390/s22030926
DOI:	10.3390/s22030926
Appears in Collections:	[Department of Computer Science ] Periodical Articles

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